[jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

2019-02-17 Thread Matthias J. Sax (JIRA)


 [ 
https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Matthias J. Sax updated KAFKA-5661:
---
Fix Version/s: (was: 2.2.0)

> Develop and understanding of how to tune transactions for optimal performance
> -
>
> Key: KAFKA-5661
> URL: https://issues.apache.org/jira/browse/KAFKA-5661
> Project: Kafka
>  Issue Type: Sub-task
>Affects Versions: 0.11.0.0
>Reporter: Apurva Mehta
>Assignee: Apurva Mehta
>Priority: Major
>
> Currently, we don't have an idea of the throughput curve for transactions 
> across a different range of workloads. 
> Thus we would like to understand how to tune transactions so that they are 
> viable across a broad range of work loads. For instance, what knobs can you 
> tweak if you use small messages to yet get acceptable transactional 
> performance? We don't understand the performance curve across variables like 
> message size, batch size, transaction duration, linger.ms, etc., and it would 
> be good to get an understanding of this area and publish recommended 
> configurations for different workloads.



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[jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

2018-10-02 Thread Dong Lin (JIRA)


 [ 
https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dong Lin updated KAFKA-5661:

Fix Version/s: (was: 2.1.0)
   2.2.0

> Develop and understanding of how to tune transactions for optimal performance
> -
>
> Key: KAFKA-5661
> URL: https://issues.apache.org/jira/browse/KAFKA-5661
> Project: Kafka
>  Issue Type: Sub-task
>Affects Versions: 0.11.0.0
>Reporter: Apurva Mehta
>Assignee: Apurva Mehta
>Priority: Major
> Fix For: 2.2.0
>
>
> Currently, we don't have an idea of the throughput curve for transactions 
> across a different range of workloads. 
> Thus we would like to understand how to tune transactions so that they are 
> viable across a broad range of work loads. For instance, what knobs can you 
> tweak if you use small messages to yet get acceptable transactional 
> performance? We don't understand the performance curve across variables like 
> message size, batch size, transaction duration, linger.ms, etc., and it would 
> be good to get an understanding of this area and publish recommended 
> configurations for different workloads.



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[jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

2018-06-06 Thread Rajini Sivaram (JIRA)


 [ 
https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rajini Sivaram updated KAFKA-5661:
--
Fix Version/s: (was: 2.0.0)
   2.1.0

> Develop and understanding of how to tune transactions for optimal performance
> -
>
> Key: KAFKA-5661
> URL: https://issues.apache.org/jira/browse/KAFKA-5661
> Project: Kafka
>  Issue Type: Sub-task
>Affects Versions: 0.11.0.0
>Reporter: Apurva Mehta
>Assignee: Apurva Mehta
>Priority: Major
> Fix For: 2.1.0
>
>
> Currently, we don't have an idea of the throughput curve for transactions 
> across a different range of workloads. 
> Thus we would like to understand how to tune transactions so that they are 
> viable across a broad range of work loads. For instance, what knobs can you 
> tweak if you use small messages to yet get acceptable transactional 
> performance? We don't understand the performance curve across variables like 
> message size, batch size, transaction duration, linger.ms, etc., and it would 
> be good to get an understanding of this area and publish recommended 
> configurations for different workloads.



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[jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

2018-02-01 Thread Damian Guy (JIRA)

 [ 
https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Damian Guy updated KAFKA-5661:
--
Fix Version/s: (was: 1.1.0)
   1.2.0

> Develop and understanding of how to tune transactions for optimal performance
> -
>
> Key: KAFKA-5661
> URL: https://issues.apache.org/jira/browse/KAFKA-5661
> Project: Kafka
>  Issue Type: Sub-task
>Affects Versions: 0.11.0.0
>Reporter: Apurva Mehta
>Assignee: Apurva Mehta
>Priority: Major
> Fix For: 1.2.0
>
>
> Currently, we don't have an idea of the throughput curve for transactions 
> across a different range of workloads. 
> Thus we would like to understand how to tune transactions so that they are 
> viable across a broad range of work loads. For instance, what knobs can you 
> tweak if you use small messages to yet get acceptable transactional 
> performance? We don't understand the performance curve across variables like 
> message size, batch size, transaction duration, linger.ms, etc., and it would 
> be good to get an understanding of this area and publish recommended 
> configurations for different workloads.



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[jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

2017-09-22 Thread Guozhang Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Guozhang Wang updated KAFKA-5661:
-
Fix Version/s: (was: 1.0.0)
   1.1.0

> Develop and understanding of how to tune transactions for optimal performance
> -
>
> Key: KAFKA-5661
> URL: https://issues.apache.org/jira/browse/KAFKA-5661
> Project: Kafka
>  Issue Type: Sub-task
>Affects Versions: 0.11.0.0
>Reporter: Apurva Mehta
>Assignee: Apurva Mehta
> Fix For: 1.1.0
>
>
> Currently, we don't have an idea of the throughput curve for transactions 
> across a different range of workloads. 
> Thus we would like to understand how to tune transactions so that they are 
> viable across a broad range of work loads. For instance, what knobs can you 
> tweak if you use small messages to yet get acceptable transactional 
> performance? We don't understand the performance curve across variables like 
> message size, batch size, transaction duration, linger.ms, etc., and it would 
> be good to get an understanding of this area and publish recommended 
> configurations for different workloads.



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